Junki Mine
Impact in
- Agronomy and Crop Science top 2%
- Animal Disease Management and Epidemiology
- Infectious Diseases top 5%
- Viral gastroenteritis research and epidemiology
- Viral Infections and Vectors
Papers in
- Epidemiology 31
- Influenza Virus Research Studies 30
- Respiratory viral infections research 6
- Virology and Viral Diseases 4
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- Animal Disease Management and Epidemiology 31
- Co-authors
- Yuko Uchida (28 shared papers)Takehiko Saito (22 shared papers)Ryota Tsunekuni (24 shared papers)Taichiro Tanikawa (12 shared papers)Nobuhiro Takemae (10 shared papers)Kirill Sharshov (13 shared papers)Ivan Sobolev (12 shared papers)А. М. Шестопалов (10 shared papers)
In The Last Decade
Junki Mine
35 papers receiving 430 citations
Peers
Comparison fields: 5 of 38
- Agronomy and Crop Science 323
- Infectious Diseases 230
- Epidemiology 332
- Animal Science and Zoology 51
- Ecology, Evolution, Behavior and Systematics 61
Countries citing papers authored by Junki Mine
This map shows the geographic impact of Junki Mine's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Junki Mine with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junki Mine more than expected).
Fields of papers citing papers by Junki Mine
This network shows the impact of papers produced by Junki Mine. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Junki Mine. The network helps show where Junki Mine may publish in the future.
Co-authors
The 25 scholars most cited alongside Junki Mine, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 44 | |
| 2 | 2017 | 42 | |
| 3 | 2019 | 25 | |
| 4 | 2019 | 23 | |
| 5 | 2021 | 22 | |
| 6 | 2022 | 21 | |
| 7 | 2019 | 20 | |
| 8 | 2023 | 19 | |
| 9 | 2018 | 17 | |
| 10 | 2022 | 17 | |
| 11 | 2021 | 17 | |
| 12 | 2014 | 15 | |
| 13 | 2015 | 15 | |
| 14 | 2015 | 14 | |
| 15 | 2015 | 13 | |
| 16 | 2024 | 13 | |
| 17 | 2020 | 11 | |
| 18 | 2019 | 11 | |
| 19 | 2024 | 10 | |
| 20 | 2018 | 10 |
About Junki Mine
Junki Mine is a scholar working on Epidemiology, Agronomy and Crop Science, Infectious Diseases, Ecology, Evolution, Behavior and Systematics and Animal Science and Zoology, having authored 37 papers that have together received 443 indexed citations. Recurring topics across this work include Animal Disease Management and Epidemiology (31 papers), Influenza Virus Research Studies (30 papers), Viral gastroenteritis research and epidemiology (13 papers), Viral Infections and Vectors (11 papers), Respiratory viral infections research (6 papers), Virology and Viral Diseases (4 papers), Vector-Borne Animal Diseases (4 papers) and Animal Virus Infections Studies (4 papers). The work is most often cited by research in Agronomy and Crop Science (323 citations), Infectious Diseases (230 citations), Epidemiology (332 citations), Animal Science and Zoology (51 citations) and Ecology, Evolution, Behavior and Systematics (61 citations). Junki Mine has collaborated with scholars based in Japan, Russia and Thailand. Frequent co-authors include Yuko Uchida, Takehiko Saito, Ryota Tsunekuni, Taichiro Tanikawa, Nobuhiro Takemae, Kirill Sharshov, Ivan Sobolev, А. М. Шестопалов, Yoshihiro Sakoda and Kohtaro Miyazawa. Their work appears in journals such as Viruses, Transboundary and Emerging Diseases, Archives of Virology, Virology and Emerging infectious diseases.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.